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Desenvolvimento de sistema de secagem solar

Authors: Prates, Beatriz Maria Dias de Sousa;

Desenvolvimento de sistema de secagem solar

Abstract

A secagem é um dos métodos mais utilizado na produção das plantas aromáticas, no entanto, também se trata do método mais dispendioso em termos energéticos, representando 30 a 50% dos custos totais. O sistema de secagem solar BLACK BLOCK® tem como base um algoritmo de cálculo que torna o processo energeticamente eficiente, otimizando a utilização da energia solar para o processo de desidratação. O presente trabalho teve como objetivo o desenvolvimento do sistema de secagem solar BLACK BLOCK®, através da otimização e análise das variáveis de secagem no software, como também a avaliação do rendimento do processo de secagem. O desenvolvimento de software foi realizado com base na experiência dos clientes e com base nos ensaios de secagem realizados em diferentes condições ambientais de secagem e com diferentes produtos. O algoritmo BLACK BLOCK® tem incluindo no processo de secagem a renovação do ar durante a noite, que consiste em renovar o ar no interior do secador para criar as condições ótimas de secagem e estabelecer o equilíbrio entre a temperatura e a humidade relativa do ar. Observou-se se compensava a existência deste mecanismo nas duas primeiras noites de secagem a partir da análise de curvas de secagem, e com que valores de temperatura interior se tinha um maior rendimento do desumidificador para a remoção de humidade das plantas. As plantas utilizadas em estudo foram as seguintes: hortelã-pimenta, lúcia-lima, estragão-francês e tomilho-limão.

Drying is one of the most used methods in aromatic plants, however, it is also the most energy-intensive method, representing 30 to 50% of the total costs in the production of the aromatic plants. The BLACK BLOCK® solar drying system is based on a calculation algorithm that makes the process energy efficient, optimizing the use of the solar energy for dehydration process. The present work had the objective of developing the BLACK BLOCK® solar drying system, through the optimization and analysis of the drying variables in the software, as well as the evaluation of the yield of the drying process. The development was carried out based on customer experience and based on the drying tests carried out under different environmental drying conditions with different products. The BLACK BLOCK® algorithm has included in the drying process the air renewal at night, which consists of renewing the air inside the dryer to create the optimal conditions of drying and establish the balance between the temperature and the relative humidity of the air. It was observed that it compensated in the mechanism in the first two nights of drying from the analysis of drying curves, and with which values of interior temperature we had a greater yield of the dehumidifier for the removal of moisture from the plants. The plants used in this study were: peppermint, lemon verbena, tarragon and lemon thyme.

Tese de mestrado integrado, Engenharia da Energia e do Ambiente, Universidade de Lisboa, Faculdade de Ciências, 2019

Country
Portugal
Related Organizations
Keywords

Departamento de Engenharia Geográfica, Geofísica e Energia, Energia solar, Secagem, Plantas aromáticas, Sustentabilidade, Eficiente, Teses de mestrado - 2019

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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